A winning recipe for machine learning? Focus on the ingredients, not the kitchen

August 2019 Machine Learning

You’ve undoubtedly heard quite a bit about marketing powered by machine learning in the last two years. But maybe you’re still a bit mystified by it. Where do you even begin to get your marketing organization started? Cassie Kozyrkov is the chief decision scientist with Google Cloud, and she’s got an interesting take for marketers who may be overwhelmed by it all.

The first step is to realize the difference between the research side of machine learning and the applied side, she says. It’s sort of like building kitchen appliances vs. cooking at scale. “Just because you know how to build a microwave doesn’t make you a great chef and vice versa.”

Machine learning is like having a billion extra interns, not one Einstein, to make effective ads